Вакансия дает практический опыт с передовой AI-инфраструктурой, но круглосуточная ответственность за инциденты и широкий охват вычислительной и инженерной инфраструктуры делают работу напряженной.
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Круглосуточные дежурстваШирокая зона ответственностиПередовая инфраструктураКритичная для продукта работа
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Supercompute Operations Engineering (AI): Operating and improving GPU supercomputing data halls across compute and facility systems with an accent on monitoring, incident response, automation, and deployment engineering. Focus on integrating hardware, networking, storage, power, and cooling signals, bringing new data halls online, and identifying systemic reliability failures.
xAI is building a super-intelligence stack spanning Colossus supercomputers, Grok models, and applications including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X.
What you will do
Own monitoring architecture, alerting, signal quality, and monitoring automation across GPU, host, facility, power, cooling, and data center telemetry.
Participate in 24/7 end-to-end incident response, mitigation, and control authority from customer impact through facility operations.
Operate and sustain live data halls, resolve rack-level compute and facility infrastructure issues, and coordinate daily issue disposition across Site Operations and Facility Operations.
Lead acceptance testing and deployment campaigns to bring new data halls fully online.
Develop production automation for data hall bring-up, alerting, and automated incident response, and maintain operational procedures and live data hall state documentation.
Lead cross-functional reliability work across compute, InfiniBand/RoCE networking, storage, power, cooling, hardware, and integrated operations systems, including systemic root-cause analysis and corrective actions.
Requirements
Bachelor’s degree in Mechanical, Electrical, or Computer Engineering or a related scientific discipline and 2+ years of experience in data center, critical facilities, power plant, or large-scale compute operations; alternatively, 6+ years of equivalent experience in those environments.
Nice to have
Hands-on experience with Prometheus/Grafana, NVIDIA DCGM, or industrial telemetry and controls including SCADA, BMS/BAS, EPMS, DCIM, PLCs, Modbus, or BACnet.
Experience in data center site reliability, systems engineering, plant operations, or large-scale production operations.
Experience running acceptance test campaigns for integrated products.
Experience with AI/ML infrastructure or supercomputing environments, including GB200/NVL72 or H100/H200-class GPU fleets, NCCL, InfiniBand/RoCE, Slurm, or Kubernetes.
Experience with fleet firmware and BMC management, including Redfish, IPMI, firmware release validation, and staged rollouts.
Familiarity with data center hardware and plant signals covering servers, GPUs, networking, power, cooling, and software telemetry.
Large-scale incident command experience and calm technical leadership on an SRE/NOC bridge or plant control room.
Experience writing and operating playbooks, runbooks, standard operating procedures, methods of procedure, or emergency operations procedures.
Proficiency in Python and Bash scripting for automation and analysis, plus general experience with a systems language such as C, C++, Java, Go, or Rust.
Ability to collaborate with cross-functional, cross-country, and multi-disciplinary teams.
Culture & Benefits
Work directly with Site Operations and Facility Operations technicians in data halls and the field.
Collaborate across compute, network, storage, facility, and operations disciplines.
Work in a 24/7 operational environment focused on GPU uptime, safe execution, and continuous response improvement.
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